code: def test_resize_and_normalize(self, device):
      loader = TorchImageLoader(
          resize=True, normalize=True, device=device
      )
      torch_device = torch.device(device)
      image, size = loader(self.image_fixture_path)
      assert image.device == torch_device
      assert size.device == torch_device
      assert image.shape[1] == 800
  
file_path: allennlp/tests/data/image_loader_test.py
imports: import pytest
  import torch
  import torchvision
  from allennlp.common.testing import AllenNlpTestCase, multi_device
  from allennlp.data.image_loader import TorchImageLoader
label_desc: Use image node_id 3 for calling the TorchImageLoaderTest obj's underlying member method code with example usage: obj.test_resize_and_normalize(device) without return types